Machine Learning Engineer (M/W/D)

ForTech Consulting GmbH; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading tech consultancy is seeking a Machine Learning Engineer to build and scale ML/AI applications on GCP, automating pipelines and deploying models. The ideal candidate holds a degree in IT, Data Science, or a related field, possesses strong ML knowledge, and is fluent in German. This role offers a salary of up to €80k, flexible working hours, and various team perks, fostering a collaborative environment.

Leistungen

Flexible working hours & mobile work options

Health, fitness, and family support programs

Learning budget and access to advanced training

Team events, mentoring, and a collaborative environment

Mobility perks: public transport subsidy, bike leasing

Qualifikationen

• Strong knowledge in Machine Learning, Deep Learning, NLP.
• Confident in Python and familiar with frameworks like TensorFlow or PyTorch.
• Fluent German (C1+) and good English.

Aufgaben

• Build and scale ML/AI applications on GCP (Vertex AI, BigQuery, NLP).
• Automate pipelines and deploy models with Python, NumPy, and Airflow.
• Translate business needs into tailored ML solutions.

Kenntnisse

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Python

Linux

Ausbildung

Degree or training in IT, Data Science, or related field

Tools

TensorFlow

PyTorch

BigQuery

Airflow

Jobbeschreibung

Overview

You’ll be working on the newest tools and features in the Google Cloud ecosystem — often before other companies even have the resources to touch them. As part of one of the strongest GCP teams in the DACH region, you’ll gain early access to cutting-edge technologies and help bring them into production.

Responsibilities

• Build and scale ML/AI applications on GCP (Vertex AI, BigQuery, NLP).
• Automate pipelines and deploy models with Python, NumPy, and Airflow.
• Translate business needs into tailored ML solutions.
• Contribute to software architectures, IaC setups, and FinOps optimization.

Qualifications

• Degree or training in IT, Data Science, or related field.
• Strong knowledge in Machine Learning, Deep Learning, NLP.
• Confident in Python and familiar with frameworks like TensorFlow or PyTorch.
• Comfortable with Linux, APIs, and cloud-native workflows.
• Fluent German (C1+) and good English.

Offer

• Location: Berlin (2x/week onsite).
• Salary: up to €80k base starting.
• Flexible working hours & mobile work options.
• Health, fitness, and family support programs.
• Learning budget and access to advanced training.
• Team events, mentoring, and a collaborative environment.
• Mobility perks: public transport subsidy, bike leasing.
• Independent guidance on pension and insurance topics.